when a designer gets access to Jev
pi-warden
Pi extension that supervises a coding agent with Jev judgments: it holds risky tool calls, checks writes against project Markdown rules, and feeds most issues back to the agent as a steer instead of interrupting you. The conscience is beta and off by default.
- Category
- Tools & Integrations
- Published by
- Community
- Author
- DevMortimer
- Added
- 2026-09-22
Tagscommunitytypescriptguardrailssecuritycoding-agentagents
Highlights
- Watches bash, write, and edit calls and holds irreversible actions before they run.
- The rules guard judges writes against project Markdown rules and quotes the broken rule.
- In 150 paired agent runs the control violated the tested rule 6 times; with Warden, 0.
- Across 18,075 guarded calls the action hold fired 48 times, or 3 holds per 1,000 calls.
- Runs offline without a key with pattern, runaway, sensitive-path, and credential guards.
Quickstart
bash
pi install npm:pi-warden
# then run /warden enable and /warden init inside PiWatch out
MIT-licensed. Needs Pi 0.85+ and Node 22.19+; judgments need a TypeSafe or OpenRouter key, the conscience is beta and off by default, and the action guard is calibrated on one user's 17k calls while other guards use synthetic cases.
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From the community
Posts from builders shipping with Jev right now.
When a designer gets Jev
Full Jev video tutorial
Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor
The case against Jev-scored compaction
This is a terrible compaction strategy that fundamentally doesn't understand how compaction and context management work. Seems like a lot of people are confused so let's break this down. 1. Compaction isn't a filter The role of compaction is to clean up history to keep the Show more
found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant
Classifying rows in DuckDB
I made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table about 10sec for 1k rows ~ better than using an LLM, way more ergonomic than a classifier game-changing for data analysis!
A playable 16-judgment demo
typesafe's jev is fun! live demo you can play with: typesafe-demo.val.run
AI multiple choice, not essay writing
WTF is Jev by @typesafeai? Here’s the tl;dr ELI5: Think AI multiple choice, not AI essay writing. It doesn’t chat. It makes decisions your software can act on: “Spam or not?” “Which tool should this agent use?” “Does this need a human?” The exciting part: roughly 200x faster Show more